SOURCE-LINKED INTELLIGENCE
AquaWorld: Structure-Consistent Underwater World Generation for Robot Simulation
Underwater robot simulation requires diverse environments in which terrain, scene composition, tasks, and currents remain mutually consistent. We present AquaWorld, a world-generation framework that preserves these relationships through shared terrain structure. A language-conditioned plan generates 3D terrain and shared structural references that guide asset placement, task definition, and inflow specification under stochastic variation. The framework incorporates over 10,000 underwater-compatible assets, predicts reusable terrain-conditioned mean-flow fields through a CFD-supervised residual
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Evidence & attribution
- arXiv · AI, language, vision and robotics · 2026-09-19T00:58:05.000Z
First collected: 2026-09-23T12:01:45.602Z. This is not the publication date.